Institute for Translational Psychiatry, University of Muenster, Muenster, Germany.
Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy.
Neuropsychopharmacology. 2022 Nov;47(12):2051-2060. doi: 10.1038/s41386-022-01385-3. Epub 2022 Aug 18.
Subtle subjective visual dysfunctions (VisDys) are reported by about 50% of patients with schizophrenia and are suggested to predict psychosis states. Deeper insight into VisDys, particularly in early psychosis states, could foster the understanding of basic disease mechanisms mediating susceptibility to psychosis, and thereby inform preventive interventions. We systematically investigated the relationship between VisDys and core clinical measures across three early phase psychiatric conditions. Second, we used a novel multivariate pattern analysis approach to predict VisDys by resting-state functional connectivity within relevant brain systems. VisDys assessed with the Schizophrenia Proneness Instrument (SPI-A), clinical measures, and resting-state fMRI data were examined in recent-onset psychosis (ROP, n = 147), clinical high-risk states of psychosis (CHR, n = 143), recent-onset depression (ROD, n = 151), and healthy controls (HC, n = 280). Our multivariate pattern analysis approach used pairwise functional connectivity within occipital (ON) and frontoparietal (FPN) networks implicated in visual information processing to predict VisDys. VisDys were reported more often in ROP (50.34%), and CHR (55.94%) than in ROD (16.56%), and HC (4.28%). Higher severity of VisDys was associated with less functional remission in both CHR and ROP, and, in CHR specifically, lower quality of life (Qol), higher depressiveness, and more severe impairment of visuospatial constructability. ON functional connectivity predicted presence of VisDys in ROP (balanced accuracy 60.17%, p = 0.0001) and CHR (67.38%, p = 0.029), while in the combined ROP + CHR sample VisDys were predicted by FPN (61.11%, p = 0.006). These large-sample study findings suggest that VisDys are clinically highly relevant not only in ROP but especially in CHR, being closely related to aspects of functional outcome, depressiveness, and Qol. Findings from multivariate pattern analysis support a model of functional integrity within ON and FPN driving the VisDys phenomenon and being implicated in core disease mechanisms of early psychosis states.
大约 50%的精神分裂症患者报告存在细微的主观视觉功能障碍(VisDys),并且这些障碍被认为可以预测精神病状态。更深入地了解 VisDys,特别是在早期精神病状态下,可以帮助我们更好地理解导致易患精神病的基本疾病机制,并为预防干预措施提供信息。我们系统地研究了 VisDys 与三种早期精神病状况下的核心临床指标之间的关系。其次,我们使用一种新的多变量模式分析方法,通过相关脑系统的静息状态功能连接来预测 VisDys。使用精神分裂症易感性量表(SPI-A)评估 VisDys 后,对近期精神病发作(ROP,n=147)、精神病高危状态(CHR,n=143)、近期抑郁症发作(ROD,n=151)和健康对照组(HC,n=280)的临床指标和静息状态 fMRI 数据进行了检查。我们的多变量模式分析方法使用与视觉信息处理相关的枕叶(ON)和额顶叶(FPN)网络内的成对功能连接来预测 VisDys。ROP(50.34%)和 CHR(55.94%)患者比 ROD(16.56%)和 HC(4.28%)患者报告的 VisDys 更常见。CHR 和 ROP 中 VisDys 严重程度越高,功能缓解程度越低,CHR 中生活质量(Qol)越低、抑郁程度越高、视空间建构能力受损越严重。ON 功能连接可预测 ROP 中 VisDys 的存在(平衡准确性 60.17%,p=0.0001)和 CHR(67.38%,p=0.029),而在 ROP+CHR 样本中,FPN 预测 VisDys(61.11%,p=0.006)。这些大型样本研究结果表明,VisDys 在 ROP 中不仅具有重要的临床意义,而且在 CHR 中更为重要,与功能预后、抑郁和生活质量的多个方面密切相关。多变量模式分析的结果支持 ON 和 FPN 内功能完整性的模型,该模型驱动 VisDys 现象,并与早期精神病状态的核心疾病机制有关。